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Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

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Predicting Cancer Treatment Responses with AI Tool PERCEPTION

Discover a new AI-driven tool that uses single-cell RNA data to help predict patient responses to cancer treatments.

3-D illustration of four cells, shown in blue with large red cell nuclei. Two cells are secreting small round bubbles from their surfaces. These bubbles represent exosomes, small cargo-carrying cell structures that have a part in diseases like cancer.

Seeking a Better Biopsy? NCI-Funded Researchers Are Using Machine Learning to Identify Exosome Biomarkers

NCI-funded researchers used machine learning to characterize a cancer biomarker based on exosomes. Their biomarker worked well using non-invasive sources, such as blood and urine, allowing the researchers to catch cancer early, even in tumors of undetermined origins.

The letters "AI" appear in a box. Brightly colored lines feed into the box from all sides, showing how data flows into the box, where the information is then processed by AI.

Interpretable AI Helps Predict the Effectiveness of Immunotherapy

Learn about NCI’s LORIS, a new artificial intelligence-approach to help you predict how a patient will respond to immunotherapy.

Graphic depicts the evaluation of AI. A scale is shown at the center of the graphic. The scale weighs the accuracy of AI (“accuracy” positioned to the left of the scale and depicted as the letters “A-I” within cogwheels) and the results/what’s learned of AI (“results” positioned to the right of the scale and portrayed as a human brain). Arrows encircle the top and bottom of the scale, illustrating a cycle.

Evaluating Diversity in an Artificial Intelligence (AI) Model for Breast Cancer

Can you develop an algorithm that applies to every patient, in every situation? A recent study shows the importance of adding diversity to your data when developing AI models.

A DNA strand is seen radiating from a toolbox full of tools. Illustration shows how scientists have many tools for use in DNA analysis.

MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

A cancer cell is highlighted in orange against a blue background that consists of other cancer and immune cells. The orange cell is in crosshairs, indicating that it’s being targeted for destruction.

Model Helps Predict Protein’s Immune-Boosting Ability

Are you researching immunotherapies and having trouble predicting which epitope will deliver the biggest punch? Try this new model for predicting immunogenicity, which is reportedly outperforming current models.

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Submit Proposals by October 3 for the “Smart Health and Biomedical Research” Initiative

NIH and the National Science Foundation are participating in an interagency funding opportunity that seeks to address technological and data science challenges, which require fundamental research and development of new tools, workflows, and methods. Proposals are due October 3, at 5:00 p.m. (submitter’s local time).

Abstract illustration showing breast cancer and how it might spread to nearby lymph nodes.

Machine Learning Blends Imaging and Clinical Data to Refine Breast Cancer Care

A new machine learning model blends image data with clinical and pathological information to tailor care for patients with breast cancer.

An image above the keyboard shows a pattern of interconnected wires with the letters "AI" in the middle, designating artificial intelligence. The image shows how doctors may someday interact with AI to provide patient care.

Survey Reveals Oncologists’ Views on Using Artificial Intelligence (AI) for Cancer Care

Are you ready to introduce AI into your practice? NCI-funded researchers recently conducted a survey to help shed light on how oncologists feel about using AI in cancer care.

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Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

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